Winter brown carbon over six of China's megacities: light absorption, molecular characterization, and improved source apportionment revealed by multilayer perceptron neural network
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Qian Zhang
Key Laboratory of Northwest Resource, Environment and Ecology, MOE,
Xi'an University of Architecture and Technology, Xi'an 710055, China
Yali Lei
Key Lab of Geographic Information Science of the Ministry of
Education, School of Geographic Sciences, East China Normal University,
Shanghai 200241, China
Tian Zhang
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Shasha Huang
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Jian Sun
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Hongmei Xu
Department of Environmental Science and Engineering, Xi'an Jiaotong
University, Xi'an 710049, China
Junji Cao
Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth
Environment, Chinese Academy of Sciences, Xi'an 710061, China
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Total article views: 2,859 (including HTML, PDF, and XML)
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Total article views: 2,448 (including HTML, PDF, and XML)
Thereof 2,448 with geography defined
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Total article views: 411 (including HTML, PDF, and XML)
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The optical properties and molecular structure of atmospheric brown carbon (BrC) in winter of several megacities in China were analyzed, and the source contribution of brown carbon was improved by using positive matrix factorization coupled with a multilayer perceptron neural network. These results can provide a basis for the more effective control of BrC to reduce its impacts on regional climates and human health.
The optical properties and molecular structure of atmospheric brown carbon (BrC) in winter of...
